A inteligência artificial como ferramenta de auxílio diagnóstico e análise de materiais em biossensores eletroquímicos

Abstract

Materials Sciences and Information Technologies are increasingly contributing to scientific and technological development worldwide. Within this large area, there is Artificial Intelligence (AI), a mechanism that involves the development and improvement of intelligent decision software, thus simulating human reasoning. Given the different areas of AI application, in this work, a neural network was developed that seeks to improve the experience of diagnostic results provided by electrochemical biosensors. In the prototype of this software, we were able to improve the reading of results released by the voltammogram of the electrochemical biosensor provided, where it was possible to identify whether the patient had the disease being analyzed. In this work, it was also possible to analyze the best choice of material to be used to carry out the diagnostic tests of the analyzed device. In this way, with the development of this artificial intelligence (AI), we were able to advance in the formation of a prototype that aims to improve the accessibility and portability of diagnoses developed by electrochemical biosensors through methods present in computing.